Google Cloud Auto Annotate and Roboflow

Auto label your own classes with Roboflow

Google Cloud Auto Annotate (now object enrichments) vs Roboflow AI-Assisted Annotate? Over 2 million engineers create datasets, train models, and deploy with Roboflow, and every plan, including the Free tier, comes with self-hosted inference, model weights download, and a private workspace.

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Close-up of airplane landing gear bolts with AI object detection showing "safety_wire" on two and "safety_wire_missing" on one.

Why are companies choosing Roboflow?

Roboflow is enterprise vision AI infrastructure, used by more than half of the Fortune 100, with SOC 2 Type II, HIPAA, and air-gapped deployment. Create datasets, train models, and deploy to production.

  • End-to-End Vision, One Platform

    From labeling to deployment - build, train, and launch with ease.

  • Built for Builders, Ready for Anything

    Interoperable infrastructure for developers to create custom vision solutions.

  • AI at the Edge, Without Limits

    Deploy seamlessly to any edge device and power real-time vision AI.

  • Roboflow Annotate labeling cans with AI box prompting

    Fast data labeling

    Label data quickly with a suite of AI-assisted annotation tools to augment human labeling or fully automate your data labeling pipeline.

  • Workflow blocks for notifications and integrations

    Build vision AI applications with ease

    Use a low-code open source platform to simplify building and deploying vision AI applications.

  • A team reviewing a detected pallet in a warehouse aisle

    Machine learning expertise, always

    Work with account-dedicated AI specialists and Field Engineers to accelerate development and optimize performance.

  • Photos from datasets across industries

    Datasets and models for every industry

    Access thousands of datasets and pre-trained models to kickstart your computer vision projects.

  • Logos of OpenAI, Microsoft, Meta, Anthropic, Google and Qwen

    Flexible model licensing

    Choose from a range of licensing options to fit your needs, whether for commercial use, private deployment, or collaboration across teams.

Want to migrate from Google Cloud to Roboflow?

  • Import images to Roboflow

    Bring image datasets from Google Cloud Storage to Roboflow for labeling and model training.

  • Deploy with Roboflow

    No matter where you train your model, use Roboflow's trusted deployment solutions.

  • Automate data labeling

    Use AI labeling in Roboflow to automate 90% of human labeling.

OK I’m ready, how do I use Roboflow?

Roboflow makes it easy to build, train, and deploy custom computer vision models, even if you’re not a machine learning expert.

Start a free Roboflow account

Talk to a Vision AI engineer about auto labeling your own classes

Bring us the objects you need labeled and we'll show Auto Label on your data on the first call.

Ask us about:

  • A live demo of Auto Label on your own images and classes
  • A labeling workflow with human review built in
  • Training and deployment in the same platform
  • Pricing compared against your current per-image costs

Over 80,000 organizations build with Roboflow.

  • Rivian
  • Pella
  • Chobani
  • USG Corporation
  • BNSF Railway
  • American Woodmark
Start where you are

Compare Google Cloud Auto Annotate and Roboflow

Google Cloud Auto Annotate, now called Cloud Storage object enrichments, adds predictions from Google’s pre-trained models to images in Cloud Storage. It helps organize and search image collections using recognized objects and other metadata. Those models have predefined capabilities; they don’t learn the classes specific to your application.

Roboflow starts with the classes you want to detect. Describe them in plain language, then use Auto Label (opens in a new tab) to generate annotations from that text prompt. Preview the results on a few images, refine your instructions, and apply them to the batch. Your team can correct boxes, adjust polygons, and review labels in Roboflow Annotate before creating a versioned training dataset. Export to formats such as COCO or YOLO, or train a specialized model directly in Roboflow.

You can also run this process from ChatGPT (opens in a new tab) through Roboflow’s MCP integration. Upload images, specify your classes, preview annotations, and launch a labeling job through conversation, with results available for review in Roboflow. When you’re ready to build the application, Roboflow Agent helps select models and create Workflows that connect predictions to actions.

The free plan provides a private workspace and 10 monthly credits to try the process on your own data. Enterprise teams can add access controls, annotation history, and engineering support for larger deployments. Run the resulting model through a hosted API or on your own hardware, where Roboflow Inference does not consume inference credits. Your labeling work becomes a model you can deploy, measure, and improve as your application evolves.

Google Cloud Auto Annotate vs Roboflow: Feature by Feature

FeatureRoboflowGoogle Cloud Auto Annotate
Product statusGenerally availablePreview (now Cloud Storage object enrichments); offered as is with limited support
Label your own classesYes, Auto Label labels the classes you describe in plain textNo; a fixed set of Google pre-trained models; you can't add your own classes
Annotation outputBounding boxes, polygons, keypoints, and classification labels, ready to train onObject boxes, image labels, faces, and explicit-content flags stored as metadata on each object
Human review and correctionYes, auto labels go to Roboflow Annotate with Admin, Labeler, and Reviewer rolesNot documented; Google-written results can't be edited with standard metadata updates
Export formats40+ formats, including COCO, YOLO, and Pascal VOCJSON metadata on each object; queryable in BigQuery through the paid Storage Insights add-on; no training formats
Train a model on the labelsYes, RF-DETR, YOLO (v8 / v11 / v26), and more, in the same platformNo documented link to Vertex AI training datasets
DeploymentYes, hosted API, NVIDIA Jetson and other edge devices, or fully offlineNot applicable; enriches images already in Cloud Storage
Sub-agents for frontier models (MCP)Yes, every trained model is exposed over MCP so frontier models can call it as a specialized vision toolNot documented
Use with health dataYes, HIPAA-compliant infrastructure with BAAs availableNo; Google advises against using pre-GA features with protected health information
Primary focusComputer vision: labeling, training, and deploying vision modelsSearch, curation, and safety flagging across large image stores in Cloud Storage
SDKs and APIsYes, Python SDK plus REST/HTTP APIsConfiguration only, in the console, gcloud alpha storage feature-configs, or the REST featureConfigs API
PricingPublished plans; Enterprise adds volume pricing and an uptime SLA$0.25 per 1,000 images per model for the first 1M a month, then $0.05, plus metadata storage

Best Google Cloud Auto Annotate Alternatives

Roboflow is the top Google Cloud Auto Annotate alternative for teams that want labeling, training, and deployment in one platform. Teams comparing Google Cloud Auto Annotate also look at: